Playability: Built and Social Environment Features That Promote Physical Activity Within Children

Family-Based Motivational Interviewing and Resource Mobilization to Prevent Obesity: Living Well Together Trial

OBJECTIVE

Test an obesity intervention for families with low incomes.

METHODS

A total of 208 families were included (a parent with a body mass index [BMI] ≥ 30 and a child aged 6-12 years). A 12-month randomized controlled trial combining family health coaching (motivational interviewing) and connection to community resources. Comparison group: referrals for basic needs, written educational materials. Questionnaires, accelerometry, and anthropometrics. Intention-to-treat analysis of change in outcomes. Two-sided t test with multiple imputation.

RESULTS

Parents were 95% female, 31% Black, and 27% Hispanic. Children had a mean BMI-Z score of 1.15. Primary outcomes did not differ between groups at 12 months. Both groups significantly (P < 0.05) improved on the Family Nutrition and Physical Activity Scale for behaviors related to childhood obesity (mean ± SE: comparison, 2.8 ± 1.0; intervention, 2.2 ± 0.9), increased child sedentary activity (comparison, 32.5 ± 12.1; intervention, 39.9 ± 12.4 min/d), and decreased child moderate-vigorous physical activity (comparison, -9.6 ± 3.3; intervention -7.0 ± 3.0 min/d). Parents had no change in BMI.

CONCLUSIONS AND IMPLICATIONS

We successfully embedded screening and referral to address social needs within an obesity intervention. The coaching intervention did not provide additional benefits. Future research could explore ways to make these interventions more accessible, valuable, and effective for families.

Gender Differences in Caregivers' Attitudes to Risky Child Play in Britain: A Cross-Sectional Study

BACKGROUND

This study examines gender differences in parental attitudes toward risky play for 5- to 11-year-old boys and girls in Britain.

METHODS

Analyses use data from the cross-sectional, nationally representative British Child Play Survey. Survey respondents were caregivers of primary-school-aged children living in Britain. Parent self-reported their risk tolerance in play via the Tolerance for Risk in Play Scale (TRiPS) and the Risk Engagement and Protection Survey (REPS). The REPS includes subscales that assess caregiver attitudes around "Protection from Injury" (PFI) and "Engagement with Risk" (EWR) in relation to children's play. Multiple linear regression compared caregiver gender differences in TRiPS, REPS-PFI, and REPS-EWR at the item level, and overall. Associations between child gender and these scales were also examined.

RESULTS

Among 1919 caregivers, no significant gender differences emerged in mean TRiPS (P = .72), REPS-EWR (P = .58), and REPS-PFI (P = .34) scores. Activity-specific differences were evident in caregivers' tolerance for individual risky play activities (15/31 activities). Parents of boys exhibited higher risk tolerance (B = -4.48, P < .01) and willingness for their child to engage in risky play (B = -0.63, P < .01) than parents of girls.

CONCLUSIONS

While there was no difference between male and female caregivers overall attitudes, gender differences were prominent for specific play activities and attitudes, with male caregivers demonstrating higher tolerance for the riskiest activities. Parents of boys expressed more permissive attitudes toward engagement in risky play. Further work is needed to identify why there is gender-related variation in these attitudes and should be considered in interventions that support parents in enabling adventurous play opportunities for children.

Prioritizing a research agenda on built environments and physical activity: a twin panel Delphi consensus process with researchers and knowledge users

BACKGROUND

The growth of urban dwelling populations globally has led to rapid increases of research and policy initiatives addressing associations between the built environment and physical activity (PA). Given this rapid proliferation, it is important to identify priority areas and research questions for moving the field forward. The objective of this study was to identify and compare research priorities on the built environment and PA among researchers and knowledge users (e.g., policy makers, practitioners).

METHODS

Between September 2022 and April 2023, a three-round, modified Delphi survey was conducted among two independent panels of international researchers (n = 38) and knowledge users (n = 23) to identify similarities and differences in perceived research priorities on the built environment and PA and generate twin 'top 10' lists of the most important research needs.

RESULTS

From a broad range of self-identified issues, both panels ranked in common the most pressing research priorities including stronger study designs such as natural experiments, research that examines inequalities and inequities, establishing the cost effectiveness of interventions, safety and injuries related to engagement in active transportation (AT), and considerations for climate change and climate adaptation. Additional priorities identified by researchers included: implementation science, research that incorporates Indigenous perspectives, land-use policies, built environments that support active aging, and participatory research. Additional priorities identified by knowledge users included: built environments and PA among people living with disabilities and a need for national data on trip chaining, multi-modal travel, and non-work or school-related AT.

CONCLUSIONS

Five common research priorities between the two groups emerged, including (1) to better understand causality, (2) interactions with the natural environment, (3) economic evaluations, (4) social disparities, and (5) preventable AT-related injuries. The findings may help set directions for future research, interdisciplinary and intersectoral collaborations, and funding opportunities.

Development and reliability testing of an audit toolbox for the assessment of the physical activity friendliness of urban and rural environments in Germany

Background

According to socio-ecological theories, physical activity behaviors are linked to the physical and social neighborhood environment. Reliable and contextually adapted instruments are needed to assess environmental characteristics related to physical activity. This work aims to develop an audit toolbox adapted to the German context, to urban and rural settings, for different population groups, and different types of physical activity; and to evaluate its inter-rater reliability.

Methods

We conducted a systematic literature search to collect existing audit tools and to identify the latest evidence of environmental factors influencing physical activity in general, as well as in German populations. The results guided the construction of a category system for the toolbox. Items were assigned to the categories based on their relevance to physical activity and to the German context as well as their comprehensibility. We piloted the toolbox in different urban and rural areas (100 street segments, 15 parks, and 21 playgrounds) and calculated inter-rater reliability by Cohen's Kappa.

Results

The audit toolbox comprises a basic streetscape audit with seven categories (land use and destinations, traffic safety, pedestrian infrastructure, cycling infrastructure, attractiveness, social environment, and subjective assessment), as well as supplementary tools for children and adolescents, seniors and people with impaired mobility, parks and public open spaces, playgrounds, and rural areas. 76 % of all included items had moderate, substantial, or almost perfect inter-rater reliability (κ > 0.4).

Conclusions

The audit toolbox is an innovative and reliable instrument for the assessment of the physical activity friendliness of urban and rural environments in Germany.

Bridging the Built and Social Environments: A Systematic Review of Studies Investigating Influences on Physical Activity

BACKGROUND

The purpose of this review was to examine articles assessing aspects of the built and social environment simultaneously, and how these environments influence physical activity (PA). A thorough review of studies is needed to identify patterns across studies and gaps for future research and practice.

METHODS

To be included, articles needed to contain: (1) self-report or objective measure of PA; (2) a measure of the built environment; (3) a measure of the social environment; and (4) an analysis between built environment, social environment, and PA. A systematic literature search of 4358 articles resulted in 87 articles.

RESULTS

Several populations were present within the sample including various age groups and different countries. As previously established, the built environment and social environment were consistently associated with PA; however, mediating factors between these 2 layers were less clear. Further, there was a lack of longitudinal and experimental study designs.

CONCLUSIONS

Results suggest a need for longitudinal and experimental designs with validated and granular measures. As communities recover from the COVID-19 pandemic, a thorough understanding of how built environment factors enhance or detract from social connectedness and how this reciprocal relationship impacts PA behavior is needed for future policy, environment, and systematic change.

Active school transport in an urban environment:prevalence and perceived barriers

BACKGROUND

Active school transport (AST) can increase children's and adolescents' physical activity. The proportion of children and adolescents who engage in AST has declined internationally in recent decades. This study examines the prevalence, correlates, and perceived barriers to AST in the city of Leipzig, Germany.

METHODS

The study sample includes 1070 participants, 364 children and 706 adolescents, aged between 6 and 18 years, as well as their parents. The parents as well as adolescents age 10 and above completed questionnaires concerning sociodemographic variables, means of transport/AST and perceived barriers to AST. The distance between home and school was calculated as the network distance from the home to school address using the Dijkstra algorithm. Based on these data, logistic models were fitted in a two-step variable selection process, using AST as the dependent variable.

RESULTS

Approximately half of the children (59%) and adolescents (51%) engaged in AST. The prevalence of AST exhibited a negative correlation with age (Odds Ratio (OR) = 0.94, 95% confidence interval (CI) = 0.9-0.99, p = 0.015) and did not significantly differ by gender (children: OR_girls = 1.5, CI = 0.95-2.25, p = 0.075, adolescents: OR_girls = 1.01, CI = 0.75-1.37, p = 0.924). A high socioeconomic status was positively correlated to AST on the morning trip (OR = 1.7, CI 1.3-2.21, p < 0.01) but negatively on the afternoon trip (OR = 0.7, CI = 0.53-0.9, p < 0.01) in the summer. Common barriers for children (from their parents' perspective) and for adolescents (from their own and their parents' perspective) were distance and a heavy load to carry. The parents of adolescents did not perceive any other specific barriers as a serious impediment. Further significant barriers perceived by the younger children's parents were adults giving a lift on the way to other errands, no other children to walk or cycle with, and too much traffic. Too much traffic was also a significant barrier for adolescents, as were taking too much time and bad weather conditions.

CONCLUSIONS

Future interventions promoting AST in an urban environment should be guided by the identified perceived barriers.

TRIAL REGISTRATION

LIFE Child has been retrospectively registered with ClinicalTrials.gov (NCT02550236).

An analytical model for spatial developing of sports places and spaces

Purpose

In terms of the use of sports places and spaces, per capita is a determining parameter for the status and perspective of the future. Although there are many uses for the per capita indicator in sports places, there are no consistent scientific and methodological methods for calculating it. Therefore, this study aims to provide an analytical model to determine the per capita index of sports places and spaces.

Design/methodology/approach

One of the matters that can be considered as the basic information required to develop and construct sports facilities is determination of per capita, which can be used as the most vital information to plan and develop this type of urban utilities. In the history of contemporary urbanization, the use of the per capita concept is one of Reinhard Laumeister’s innovations, a founder of modern urban engineering in Germany, hence, the use of per capita was triggered in 1876, almost 133 years ago.

Findings

The underlying information of the research in two spatial and descriptive sections was analyzed in the geographic information systems (GIS) software. After the division and network distribution of the boundary by the Thiessen Networks analytic function in the Arc GIS, per capita of each polygon was separately calculated using the presented formula and the population of the related blocks

Originality/value

Finally, with the qualitative per capita achieved in the previous stage, the study area was classified based on the need for the development of indoor pools to three, privileged, semi-privileged and deprived spectrums.

Urban-rural disparities in childhood obesogenic environments in the United States: Application of differing rural definitions

BACKGROUND

Research is needed that identifies environmental resource disparities and applies multiple rural definitions. Therefore, this study aims to examine urban-rural differences in food and physical activity (PA) environment resource availability by applying several commonly used rural definitions. We also examine differences in resource availability within urban-rural categories that are typically aggregated.

METHODS

Six food environment variables (access to grocery/superstores, farmers' markets, fast food, full-service restaurants, convenience stores, and breastfeeding-friendly facilities) and 4 PA environment variables (access to exercise opportunities and schools, walkability, and violent crimes) were included in the childhood obesogenic environment index (COEI). Total COEI, PA environment, and food environment index scores were generated by calculating the average percentile for related variables. US Department of Agriculture Urban Influence Codes, Office of Management and Budget codes, Rural-Urban Continuum Codes, Census Bureau Population Estimates for percent rural, and Rural Urban Commuting Area Codes were used. One-way ANOVA was used to detect urban-rural differences.

RESULTS

The greatest urban-rural disparities in COEI (F=310.2, P<.0001) and PA environment (F=562.5, P<.0001) were seen using RUCC codes. For food environments, the greatest urban-rural disparities were seen using Census Bureau percent rural categories (food: F=24.9, P<.0001). Comparing remote rural categories, differences were seen for food environments (F=3.1, P=.0270) and PA environments (F=10.2, P<.0001). Comparing metro-adjacent rural categories, differences were seen for PA environment (F=4.7, P=.0090).

CONCLUSION

Findings inform future research on urban and rural environments by outlining major differences between urban-rural classifications in identifying disparities in access to health-promoting resources.

Associations Between Parent's Perceived Neighborhood Environment and Objectively Measured Walkability With Their Children's Physical Activity

BACKGROUND

Neighborhoods are one setting to promote children's physical activity. This study examined associations between neighborhood features and children's physical activity and whether season or socioeconomic status modified these associations.

METHODS

Parents (n = 641) of children aged 6-10 years completed the Neighborhood Environment Walkability Scale-Abbreviated. Walkability was objectively measured at 400, 800, and 1200 m around the centroid of participants' postal codes. Children's physical activity was measured via StepsCount pedometers and parental report. Regression analyses were performed with interaction terms for season and socioeconomic status. Multiple imputation was used primarily to triangulate the results for children with missing steps data (n = 192).

RESULTS

Higher perceived residential density and traffic hazards were significantly associated with lower squareroot transformed parental-reported physical activity and steps per day, respectively. Higher perceived aesthetics was associated with higher squareroot transformed parental-reported physical activity. Socioeconomic status modified 2 associations though they were not significant upon stratification. During winter months, better perceived infrastructure and safety for walking was associated with higher squareroot transformed parental-reported physical activity. No other significant associations emerged.

CONCLUSION

Residential density, traffic hazards, and aesthetics are important for children's physical activity. Few associations were modified by socioeconomic status or season. The need for objective and subjective measures of the neighborhood environment and children's physical activity is apparent.

Changes in neighborhood environments and the increasing socioeconomic gap in child obesity risks: Evidence from Singapore

Most empirical research studying the link between neighborhood environments and child obesity risks are conducted in contexts such as the U.S., with pronounced patterns of residential segregation, making it difficult to extrapolate how far built environment characteristics contribute to socioeconomic disparities in obesity risks in less segregated contexts. Using a large national dataset of almost 625,000 students' height and weight data collected at ages 7, 11 and 14, between 2004 and 2015, this paper explores whether differences in eight neighborhood characteristics measuring access to different type of food outlets, parks and other active spaces, and public transport infrastructure might be responsible for socioeconomic differences in child obesity risks in Singapore, a city-state with relatively low levels of residential segregation. Through descriptive analyses we find that socioeconomic disparities in child BMIz in Singapore widened from 2004 onwards. However, while longitudinal regression models with individual and time fixed effects suggest that family socioeconomic status modified the relationship between environmental exposures and BMIz, there does not seem to be a clear, unequivocal relationship between built environment changes and the observed widening of the socioeconomic obesity gap.

Urban environment and health behaviours in children from six European countries

BACKGROUND

Urban environmental design is increasingly considered influential for health and wellbeing, but evidence is mostly based on adults and single exposure studies. We evaluated the association between a wide range of urban environment characteristics and health behaviours in childhood.

METHODS

We estimated exposure to 32 urban environment characteristics (related to the built environment, traffic, and natural spaces) for home and school addresses of 1,581 children aged 6-11 years from six European cohorts. We collected information on health behaviours including total amount of overall moderate-to-vigorous physical activity, physical activity outside school hours, active transport, sedentary behaviours and sleep duration, and developed patterns of behaviours with principal component analysis. We used an exposure-wide association study to screen all exposure-outcome associations, and the deletion-substitution-addition algorithm to build a final multi-exposure model.

RESULTS

In multi-exposure models, green spaces (Normalized Difference Vegetation Index, NDVI) were positively associated with active transport, and inversely associated with sedentary time (22.71 min/day less (95 %CI -39.90, -5.51) per interquartile range increase in NDVI). Residence in densely built areas was associated with more physical activity and less sedentary time, and densely populated areas with less physical activity outside school hours and more sedentary time. Presence of a major road was associated with lower sleep duration (-4.80 min/day (95 %CI -9.11, -0.48); compared with no major road). Results for the behavioural patterns were similar.

CONCLUSIONS

This multicohort study suggests that areas with more vegetation, more building density, less population density and without major roads are associated with improved health behaviours in childhood.

Resource mobilization combined with motivational interviewing to promote healthy behaviors and healthy weight in low-income families: An intervention feasibility study

Objectives

This non-randomized pilot trial examined the feasibility and acceptability of an intervention for low-income families with one parent with obesity, glucose intolerance and/or diabetes.

Methods

The 12-month intervention combined health coaching using motivational interviewing to promote lifestyle behavior change and community resource mobilization to assist with basic needs plus diet quality and physical activity. Outcome measures included process measures, open-ended questions, and the Family Nutrition and Physical Activity scale.

Results

Forty-five families completed an average of 2.1 health coach in-person visits, including 15 families lost to follow-up. Parents who stayed in the intervention reported the intervention was helpful. Some families and the health coach had difficulties contacting one another, and some of these families reported they would have liked more sessions with the coach. The Family Nutrition and Physical Activity scores improved significantly for all children (6 months: 2.9; p < .01; 12 months: 3.2; p < .05) and at 6 months for index children (6 months: 3.5; p < .01; 12 months: 2.9; p = .09). There was variation in the FNPA and other outcome changes between families.

Conclusion

This intervention was feasible in terms of recruitment and delivery of family sessions and community referrals and acceptable to participants, but maintaining contact with participants was difficult. Findings warrant improvements to help retention and logistical aspects of communication between families and coaches and testing in a randomized, controlled trial.

Examining the state, quality and strength of the evidence in the research on built environments and physical activity among children and youth: An overview of reviews from high income countries

BACKGROUND

Built environments have shown to be associated with health, with physical activity (PA) considered one of the critical pathways for achieving benefits. Navigating available evidence on the built environment and PA is challenging given the number of reviews.

OBJECTIVE

Examine the current state and quality of research looking at associations between built environments and total PA and domains of PA (i.e., leisure/recreation, transportation, school) among children and youth (1-18 years).

METHODS

We systematically searched the grey literature and six bibliographic databases from January 2000 to May 2020. Review quality was assessed using the AMSTAR2. Results by age group were synthesized using narrative syntheses and harvest plots, and certainty of the evidence was assessed using a modified GRADE approach.

RESULTS

This overview included 65 reviews. Most reviews were of very low-to-low quality. High certainty was found for positive associations between transportation PA and walking/cycling/active transportation (AT) infrastructure. There was high certainty for positive associations between streets/play streets and total PA, alongside lower certainty for transportation and leisure PA. Very low-to-moderate certainty supports schoolyards designed to promote PA were positively associated with total PA, but mixed for school PA (except children). Less consistent positive associations were found for forests/trees, greenspace/open space, recreation facilities, street lighting, traffic safety, population/residential density, proximity/access to destinations, neighbourhood characteristics, and home environments. There is very low-to-moderate certainty for negative associations between greater distance to school and traffic volume and domains of PA. Generally, null or mixed associations were observed for aesthetics, parks, AT comfort infrastructure, land-use mix, street connectivity, urban/rural status, and public transit.

DISCUSSION

There remains a need for high quality systematic reviews and studies to evaluate the effects of environmental changes across the pediatric age spectrum and using a PA domain approach. Given the global physical inactivity crisis the built environment remains and important means to promote PA among children/youth.

A randomized controlled trial of a community-based obesity intervention utilizing motivational interviewing and community resource mobilization for low-income families: Study protocol and baseline characteristics

Low-income, racially diverse families with one parent with obesity are at high risk for child obesity. Effective approaches to promote healthy behaviors and prevent additional weight gain in family members are needed. Motivational interviewing (MI) may assist families to engage, identify motivations for change and establish goals. However, families with limited resources face other barriers to goal achievement that may be addressed through connection with community organizations. This paper describes a unique protocol combining MI and community connection. This randomized controlled trial includes low-income families with one parent with obesity and at least one child aged 6 to 12 years. Families in the intervention group receive an innovative, 12-month intervention combining health coaching using MI to promote lifestyle behavior change goals and community resource mobilization to assist with basic needs and resources to aid goals. The study protocol is modeled on community-based participatory research principles. Data is collected at baseline, 6 months, 12 months, and 18 months include questionnaires, body measurements, and accelerometer data. For adults, primary outcomes are Body Mass Index (BMI), minutes of moderate to vigorous physical activity (MVPA), and hours of sedentary time per day. For children, primary outcomes are sedentary time, MVPA, and the Family Nutrition and Physical Activity Score. From this hard-to-reach population, 236 diverse families were recruited. If the study is deemed effective, it has the potential to demonstrate that the combination of MI, resource mobilization, and utilization of existing community organizations is a sustainable model to assist families at risk for obesity.

Failure to Launch: Predictors of Unfavourable Physical Activity and Sedentary Behaviour Trajectories from Childhood to Adolescence: The Gateshead Millennium Study

In a previous study based on this cohort, only 15% of the participants belonged to a favourable physical activity/sedentary behaviour trajectory group (characterised by relatively high moderate–vigorous intensity physical activity and relatively low sedentary behaviour across childhood and adolescence). Since this favourable trajectory is protective against obesity, we aimed to identify factors associated with membership of this group. In this longitudinal study, 671 participants were assessed at ages 7, 9, 12 and 15 years. Participants’ demographics, socio-economic status (SES) and physical activity environment such as, sports club participation and commuting school were assessed at ages 7, 9 and 12 and analysed with favourable trajectory membership as an outcome using multinomial logistic regression. Sex (male) and SES (higher) were the non-modifiable factors associated with favourable trajectory group. Of the modifiable factors, commuting to school at age 7, a safe environment to play at age 7 and sports club participation at age 12 were all associated with more than 2.0 times increased probability of being in the most favourable trajectory. Future interventions to promote a favourable trajectory could focus on girls and participants with low SES. Promoting active commuting, safe local spaces to play and sports participation should also help lead to a favourable trajectory for physical activity and sedentary behaviour across childhood and adolescence.

Spatial clustering patterns and regional variations for food and physical activity environments across the United States

This study examined spatial patterns of obesogenic environments for US counties. We mapped the geographic dispersion of food and physical activity (PA) environments, assessed spatial clustering, and identified food and PA environment differences across U.S. regions and rurality categories. Substantial low food score clusters were located in the South and high score clusters in the Midwest and West. Low PA score clusters were located in the South and high score clusters in the Northeast and Midwest (p < .0001). For region, the South had significantly lower food and PA environment scores. For rurality, rural counties had significantly higher food environment scores and metropolitan counties had significantly higher PA environment scores (p < .0001). This study highlights geographic clustering and disparities in food and PA access nationwide. State and region-wide environmental inequalities may be targeted using structural interventions and policy initiatives to improve food and PA access.

Physical Activity Spaces Not Effective against Socioeconomic Inequalities in Myopia Incidence: The Generation R Study

SIGNIFICANCE

Our findings show that non-Dutch background, lower maternal education, and lower net household income level may be new risk factors for myopia development in the Netherlands. Newly introduced physical activity spaces may not be effective enough in increasing outdoor exposure in children to reduce eye growth.

PURPOSE

The aims of this study were to evaluate socioeconomic inequalities in myopia incidence, eye growth, outdoor exposure, and computer use and to investigate if newly introduced physical activity spaces can reduce eye growth in school-aged children.

METHODS

Participants (N = 2643) from the Dutch population-based birth cohort Generation R were examined at ages 6 and 9 years. Socioeconomic inequalities in myopia incidence, eye growth, and lifestyle were determined using regression analyses. Information on physical activity spaces located in Rotterdam was obtained. Differences in eye growth between those who became exposed to new physical activity spaces (n = 230) and those nonexposed (n = 1866) were evaluated with individual-level fixed-effects models.

RESULTS

Myopia prevalence was 2.2% at age 6 years and 12.2% at age 9 years. Outdoor exposure was 11.4 h/wk at age 6 years and 7.4 h/wk at age 9 years. Computer use was 2.1 h/wk at age 6 years and 5.2 h/wk at age 9 years. Myopia incidence was higher in children with non-Dutch background, and families with lower household income and lower maternal education (odds ratio [OR], 1.081 [95% confidence interval, 1.052 to 1.112]; OR, 1.035 [95% confidence interval, 1.008 to 1.063]; OR, 1.028 [95% confidence interval, 1.001 to 1.055], respectively). Children living <600 m of a physical activity space did not have increased outdoor exposure, except those from families with lower maternal education (β = 1.33 h/wk; 95% confidence interval, 0.15 to 2.51 h/wk). Newly introduced physical activity spaces were not associated with reduction of eye growth.

CONCLUSIONS

Children from socioeconomically disadvantaged families became more often myopic than those from socioeconomically advantaged families. We did not find evidence that physical activity spaces protect against myopia for the population at large, but subgroups may benefit.

Neighborhood built environment typologies and adiposity in children and adolescents

BACKGROUND/OBJECTIVES

Neighborhoods are complex, multidimensional systems. However, the interrelation between multiple neighborhood dimensions is seldom considered in relation to youth adiposity. We created a neighborhood typology using a range of built environment features and examined its association with adiposity in youth.

SUBJECTS/METHODS

Analyses are based on data from the QUALITY cohort, an ongoing study on the natural history of obesity in Quebec youth with a history of parental obesity. Adiposity was measured at baseline (8-10 years) and follow up, ~8 years later. Neighborhood features were measured at baseline through in-person neighborhood assessments and geocoded administrative data and were summarized using principal components analysis. Neighborhood types were identified using cluster analysis. Associations between neighborhood types and adiposity were examined using multivariable linear regressions.

RESULTS

Five distinct neighborhood types characterized by levels of walkability and traffic-related safety were identified. At ages 8-10 years, children in moderate walkability/low safety neighborhoods had higher BMI Z-scores [β: 0.41 (0.12; 0.71), p = 0.007], fat mass index [β: 1.22 (0.29; 2.16), p = 0.010], waist circumference [β: 4.92 (1.63; 8.21), p = 0.003], and central fat mass percentage [β: 1.60 (0.04; 3.16), p = 0.045] than those residing in moderate walkability/high safety neighborhoods. Attenuated associations were observed between neighborhood types and adiposity 8 years later. Specifically, residents of moderate walkability/low safety neighborhoods had a higher FMI [β: 1.42 (-0.07; 2.90), p = 0.062], and waist circumference [β: 5.04 (-0.26; 10.34), p = 0.062].

CONCLUSIONS

Neighborhoods characterized by lower traffic safety appear to be the most obesogenic to children, regardless of other walkability-related features. Policies targeting neighborhood walkability for children may need to prioritize vehicular traffic safety.

Is the physical activity environment surrounding primary schools associated with students' weight status, physical activity or active transport, in regional areas of Victoria, Australia? A cross-sectional study

OBJECTIVES

To explore whether the physical activity (PA) environment (walkability, greenspace and recreational facilities) surrounding regional primary schools is associated with children's PA levels, active transport and weight status. Limited research on this topic has been conducted outside of major cities.

DESIGN

Cross-sectional ecological study using baseline data from two large-scale obesity prevention interventions.

SETTING

Eighty (n=80) primary schools across two regional areas in Victoria, Australia.

PARTICIPANTS

Students aged 8-13 years (n=2144) attending participating primary schools.

OUTCOME MEASURES

Measured weight status (body mass index z-score, proportion overweight/obese) and self-reported PA behaviours (meeting PA recommendations and active travel behaviour).

RESULTS

When adjusted for student and school demographics, students had significantly increased odds of using active transport to or from school when the school neighbourhood was more walkable (OR 1.21 (95% CI 1.09 to 1.35), had a greater number of greenspaces (OR 1.35 (95% CI 1.20 to 1.53)) and a greater number of recreational facilities (OR 1.18 (95% CI 1.07 to 1.31)). A higher cumulative PA environment score was also associated with a higher proportion of children using active transport (OR 1.33 (95% CI 1.28 to 1.51)). There were no significant associations between the PA environment measures and either weight status or meeting the PA recommendations in adjusted models.

CONCLUSIONS

This study is the first of its kind exploring school neighbourhood environments and child weight status and PA in regional areas of Australia. It highlights the potential of the environment surrounding primary schools in contributing to students' active travel to and from school. Further research with the use of objective PA measurement is warranted in regional areas that have been under-researched.

TRIAL REGISTRATION NUMBER

Australian New Zealand Clinical Trials Registry (ANZCTR.org.au) identifier 12616000980437; Results.

Incongruency of youth food and physical activity environments in the United States: Variations by region, rurality, and income

Local environments are increasingly the focus of health behavior research and practice to reduce gaps between fruit/vegetable intake, physical activity (PA), and related guidelines. This study examined the congruency between youth food and PA environments and differences by region, rurality, and income across the United States. Food and PA environment data were obtained for all U.S. counties (N = 3142) using publicly available, secondary sources. Relationships between the food and PA environment tertiles was represented using five categories: 1) congruent-low (county falls in both the low food and PA tertiles), 2) congruent-high (county falls in both the high food and PA tertiles), 3) incongruent-food high/PA low (county falls in high food and low PA tertiles), 4) incongruent-food low/PA high (county falls in low food and high PA tertiles), and 5) intermediate food or PA (county falls in the intermediate tertile for food and/or PA). Results showed disparities in food and PA environment congruency according to region, rurality, and income (p < .0001 for each). Nearly 25% of counties had incongruent food and PA environments, with food high/PA low counties mostly in rural and low-income areas, and food low/PA high counties mostly in metropolitan and high-income areas. Approximately 8.7% of counties were considered congruent-high and were mostly located in the Northeast, metropolitan, and high-income areas. Congruent-low counties made up 10.0% of counties and were mostly in the South, rural, and low-income areas. National and regional disparities in environmental obesity determinants were identified that can inform targeted public health interventions.

Built environment in programs to promote physical activity among Latino children and youth living in the United States and in Latin America

To prevent obesity among Latino youth in the United States and Latin America, it is necessary to understand the specific context and interplay of physical activity (PA) and the built environment (BE). This paper aims to advance the research agenda of BE and PA for obesity prevention in Latin America and among Latino youth in the United States by (1) identifying environmental indicators to inform the design of interventions and policy, (2) identifying interdisciplinary methodological approaches for the study of the complex association between BE and PA, and (3) presenting case studies of PA-promoting BE programs. A group of U.S. and Latin American scientists collaboratively worked to propose innovative indicators of the BE, methodological approaches for the study of the complex association between BE and PA, and review case studies of PA-promoting BE programs in both regions. The results identified gaps in knowledge, proposed environmental indicators (e.g., landscape, street design, mobility patterns, and crime and safety), reviewed methodological approaches (social network analysis, citizen science methods), and case studies illustrating PA-promoting BE programs (i.e., play streets, active school transport, and school setting interventions). The obesity prevention among Latino and Latin American youth requires advanced research on BE and PA addressing context-specific priorities and exchanging lessons learned.

Operationalizing and Testing the Concept of a Physical Activity Desert

BACKGROUND

The prevalence of childhood obesity is higher in economically and socially deprived areas. Higher levels of physical activity reduce the risk of excessive weight gain in youth, and research has focused on environmental factors associated with children's physical activity, though the term "physical activity desert" has not come into wide use.

METHODS

This exploratory study operationalized the term "physical activity desert" and tested the hypothesis that children living in physical activity deserts would be less physically active than children who do not. A cross-sectional study design was applied with 992 fifth-grade students who had provided objectively measured physical activity data. Five of 12 possible elements of the built environment were selected as descriptors of physical activity deserts, including no commercial facilities, no parks, low play spaces, no cohesion, and the presence of incivilities.

RESULTS

Univariate and multivariate analyses showed that only the absence of parks was associated with less physical activity in children.

CONCLUSION

Children living in a "no park" zone were less active than their counterparts who lived near a park. This study contributes preliminary conceptual and operational definitions of "physical activity desert." Future studies of physical activity deserts should be undertaken in larger and more diverse samples.

Association between neighborhood aesthetics and childhood obesity

The lack of neighbourhood aesthetics (e.g. public art and well-maintained properties) may reduce walkability in the neighbourhood and increase the risk of childhood obesity. In this study, a literature search was conducted in the Cochrane Library, PubMed and Web of Science for articles published before January 1, 2019 to analyse the associations between neighbourhood aesthetics and weight-related behaviours and outcomes among children and adolescents aged <18. One cohort study and 24 cross-sectional studies, conducted in 10 countries with a median sample size of 1124 were identified. Neighbourhood aesthetics was more commonly assessed by self-reported or parent-reported perceptions than objective measurements. Eighteen of the 25 included studies analysed physical activity (PA) as the outcome of interests, eight studies analysed active transport to school (ATS), and eight studies analysed weight status, including body mass index and overweight/obesity status. About two-thirds of studies reported non-significant associations when using PA and weight status as outcomes, and half of studies showed that neighbourhood aesthetics is associated with increased use of ATS. The rest of the studies reported mixed findings with slightly more studies showing neighbourhood aesthetics may promote PA or reduce weight. Better designed studies are necessary to achieve a robust understanding of this epidemiological relationship in the future.

Do parenting practices moderate the association between the physical neighbourhood environment and changes in children's time spent at various physical activity levels? An exploratory longitudinal study

BACKGROUND

As many children do not meet the recommended daily physical activity (PA) levels, more research is needed towards environmental determinants of children's PA levels. The aims of this longitudinal study were to investigate whether the physical environment and parenting practices have an impact on changes in children's weekday time spent at various PA levels and whether associations between physical neighbourhood environment and changes in children's PA are moderated by parenting practices.

METHODS

We performed a secondary data analysis of longitudinal data collected at three timepoints (baseline, 6, and 18 months) from 10 control schools of the Active Living study, a quasi-experimental study, which took place in South Limburg, the Netherlands. In total, 240 children aged 8-12 years were included in the analyses. PA levels were measured using accelerometry (ActiGraph GT3X+). The physical environment was assessed at baseline through neighbourhood audits of the school environment, and PA parenting practices were measured at baseline via validated parental questionnaires. Multivariate multilevel regression analyses were conducted to determine the main effects of the physical environment and parenting practices on changes in children's time spent in sedentary behaviour (SB), light PA and moderate-to-vigorous PA (MVPA) over 18 months. Additionally, moderation of the association between the physical environment and children's PA levels by parenting practices was examined by adding interacting terms to the regression equations.

RESULTS

Walkability of the physical environmental was associated with a decrease in SB at 18 months (B = -5.45, p < .05). In addition, the parenting practice logistic support was associated with an increase in MVPA (at all time points, B = .68, B = .73 and B = 1.02, respectively, all p < .05) and a decrease in SB (at 18 months, B = -1.71, p < .05). Stratified analyses (based on significant interaction terms) showed that the effect of specific physical environmental features (e.g., sports facilities) on children's improvements in PA levels were strengthened by favourable parenting practices.

DISCUSSION

Besides the main effects of walkability and logistic support, there were indications that several parenting practices moderate the association between the physical environment and changes in children's time in various PA levels. The current findings are exploratory, and need to be confirmed in further research.

Development of a national childhood obesogenic environment index in the United States: differences by region and rurality

Background

Diverse environmental factors are associated with physical activity (PA) and healthy eating (HE) among youth. However, no study has created a comprehensive obesogenic environment index for children that can be applied at a large geographic scale. The purpose of this study was to describe the development of a childhood obesogenic environment index (COEI) at the county level across the United States.

Methods

A comprehensive search of review articles (n = 20) and input from experts (n = 12) were used to identify community-level variables associated with youth PA, HE, or overweight/obesity for potential inclusion in the index. Based on strength of associations in the literature, expert ratings, expertise of team members, and data source availability, 10 key variables were identified – six related to HE (# per 1000 residents for grocery/superstores, farmers markets, fast food restaurants, full-service restaurants, and convenience stores; as well as percentage of births at baby (breastfeeding)-friendly facilities) and four related to PA (percentage of population living close to exercise opportunities, percentage of population < 1 mile from a school, a composite walkability index, and number of violent crimes per 1000 residents). Data for each variable for all counties in the U.S. (n = 3142) were collected from publicly available sources. For each variable, all counties were ranked and assigned percentiles ranging from 0 to 100. Positive environmental variables (e.g., grocery stores, exercise opportunities) were reverse scored such that higher values for all variables indicated a more obesogenic environment. Finally, for each county, a total obesogenic environment index score was generated by calculating the average percentile for all 10 variables.

Results

The average COEI percentile ranged from 24.5–81.0 (M = 50.02,s.d. = 9.01) across US counties and was depicted spatially on a choropleth map. Obesogenic counties were more prevalent (F = 130.43,p < .0001) in the South region of the U.S. (M = 53.0,s.d. = 8.3) compared to the Northeast (M = 43.2,s.d. = 6.9), Midwest (M = 48.1,s.d. = 8.5), and West (M = 48.4,s.d. = 9.8). When examined by rurality, there were also significant differences (F = 175.86,p < .0001) between metropolitan (M = 46.5,s.d. = 8.4), micropolitan (M = 50.3,s.d. = 8.1), and rural counties (M = 52.9,s.d. = 8.8) across the U.S.

Conclusion

The COEI can be applied to benchmark obesogenic environments and identify geographic disparities and intervention targets. Future research can examine associations with obesity and other health outcomes.

Neighborhood Built Environment Measures and Association with Physical Activity and Sedentary Time in 9-14-Year-Old Children in Saskatoon, Canada

This study assessed whether perceptual and researcher-rated measures of neighborhood-built environments (BEs) predict device-based multiple activity-related outcomes, specifically: moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), and sedentary time (ST), in children. Eight hundred and sixteen children aged 9-14 years from Saskatoon, Canada, were surveyed on their perceptions of BE, and their PA outcomes were objectively monitored for one week at three different time frames over a one-year period, September 2014 to August 2015. The researcher-rated BE measures were collected by trained researchers using multiple BE audit tools: neighborhood active living potential (NALP) and Irvine Minnesota inventory (IMI), 2009-2010. A multilevel modeling approach was taken to understand BE influences of children's PA outcomes. Children's perceived availability of parks and sidewalks predicted a higher accumulation of MVPA and a lower accumulation of ST. Children's report of the absence of neighborhood social disorder (e.g., threats from scary dogs/people) predicted a higher LPA, while reported concern about crime predicted a lower MVPA. Researcher-rated neighborhood activity friendliness predicted a lower ST, however, researcher-rated safety from crime predicted a higher ST. Perceived BE characteristic were stronger predictors of children's PA outcomes compared to researcher-rated BE factors.

Associations of the objective built environment along the route to school with children's modes of commuting: A multilevel modelling analysis (the SLIC study)

As active commuting levels continue to decline among primary schoolchildren, evidence about which built environmental characteristics influence walking or cycling to school remains inconclusive and is strongly context-dependent. This study aimed to identify the objective built environmental drivers of, and barriers to, active commuting to school for a multi-ethnic sample of 1,889 healthy primary schoolchildren (aged 5-11) in London, UK. Using cross-sectional multilevel ordered logistic regression modelling, supported by the spatial exploration of built environmental characteristics through cartography, the objective built environment was shown to be strongly implicated in children's commuting behaviour. In line with earlier research, proximity to school emerged as the prime variable associated with the choice for active commuting. However, other elements of the urban form were also significantly associated with children's use of active or passive modes of transport. High levels of accidents, crime and air pollution along the route to school were independently correlated with a lower likelihood of children walking or cycling to school. Higher average and minimum walkability and higher average densities of convenience stores along the way were independently linked to higher odds of active commuting. The significance of the relations for crime, air pollution and walkability disappeared in the fully-adjusted model including all built environmental variables. In contrast, relationships with proximity, traffic danger and the food environment were maintained in this comprehensive model. Black children, pupils with obesity, younger participants and those from high socioeconomic families were less likely to actively commute to school. There is thus a particular need to ensure that roads with high volumes of actively commuting children are kept safe and clean, and children's exposure to unhealthy food options along the way is limited. Moreover, as short commuting distances are strongly correlated with walking or cycling, providing high-quality education near residential areas might incite active transport to school.

Understanding childhood obesity in the US: the NIH environmental influences on child health outcomes (ECHO) program

BACKGROUND

Few resources exist for prospective, longitudinal analysis of the relationships between early life environment and later obesity in large diverse samples of children in the United States (US). In 2016, the National Institutes of Health launched the Environmental influences on Child Health Outcomes (ECHO) program to investigate influences of environmental exposures on child health and development. We describe demographics and overweight and obesity prevalence in ECHO, and ECHO's potential as a resource for understanding how early life environmental factors affect obesity risk.

METHODS

In this cross-sectional study of 70 extant US and Puerto Rico cohorts, 2003-2017, we examined age, race/ethnicity, and sex in children with body mass index (BMI) data, including 28,507 full-term post-birth to <2 years and 38,332 aged 2-18 years. Main outcomes included high BMI for age <2 years, and at 2-18 years overweight (BMI 85th to <95th percentile), obesity (BMI ≥ 95th percentile), and severe obesity (BMI ≥ 120% of 95th percentile).

RESULTS

The study population had diverse race/ethnicity and maternal demographics. Each outcome was more common with increasing age and varied with race/ethnicity. High BMI prevalence (95% CI) was 4.7% (3.5, 6.0) <1 year, and 10.6% (7.4, 13.7) for 1 to <2 years; overweight prevalence increased from 13.9% (12.4, 15.9) at 2-3 years to 19.9% (11.7, 28.2) at 12 to <18 years. ECHO has the statistical power to detect relative risks for 'high' BMI ranging from 1.2 to 2.2 for a wide range of exposure prevalences (1-50%) within each age group.

CONCLUSIONS

ECHO is a powerful resource for understanding influences of chemical, biological, social, natural, and built environments on onset and trajectories of obesity in US children. The large sample size of ECHO cohorts adopting a standardized protocol for new data collection of varied exposures along with longitudinal assessments will allow refined analyses to identify drivers of childhood obesity.

Striking a Balance: Physical Activity, Screen-Viewing and Homework during the Transition to Secondary School

Physical activity levels decline, and screen-viewing behaviours increase during childhood and adolescence. The transition to secondary school appears to coincide with a sharp decline in physical activity. Parents have the potential to influence their child’s behaviours, yet little is known about their expectations for their child’s physical activity and screen-viewing during this transition. This paper explores parents’ expectations for their children’s physical activity and screen-viewing as they transition from primary to secondary school, and their proposed strategies for managing these behaviours during this time. Forty-two parents of children aged 10–11 years participated in a semi-structured telephone interviews in July 2017 or March 2018. The interview data were analysed via inductive and deductive content analysis to explore parents’ perceptions of physical activity and screen-viewing during the transition, the reasons for their perceptions, and the strategies they intended to implement to help their child balance their behaviours. Most parents expected both physical activity and screen-viewing to increase during this transition. There were several individuals, social and school-level factors influencing these expectations. Overall, parents felt that helping their child balance their activity levels, screen-viewing and homework would be challenging.

New physical activity spaces in deprived neighborhoods: Does it change outdoor play and sedentary behavior? A natural experiment

BACKGROUND

We used the introduction of dedicated physical activity (PA) spaces in Rotterdam, the Netherlands, to study the impact of reducing distance to dedicated PA spaces on outdoor play and sedentary behavior, and to evaluate if these effects were similar between population subgroups.

METHODS

We included 1841 Dutch children from the Generation R Study who participated at two subsequent measurement waves when the children were, on average, 6.0 and 9.7 years old. None of these children lived within 600 m of a dedicated PA space at baseline, and during follow-up 171 children became exposed to 13 new PA spaces within 600 m from home. Individual-level fixed-effects models were used to evaluate changes in distances (determined by Geographical Information Systems (GIS)) from home to the nearest new dedicated PA space, to parent-reported outdoor play and sedentary behavior.

RESULTS

The introduction of a dedicated PA space within 600 m from home, and the reduction of the distance per 100 m, did not affect outdoor play or sedentary behaviors. At p < 0.1, significant interaction terms were found between the introduction of the PA spaces and indicators of family socioeconomic position. Although not statistically significant, stratified analyses showed a consistent pattern, suggesting that reducing the distance to the nearest PA space increased outdoor play for children from parents with lower levels of education. However, they also showed a non-significant increase in sedentary behaviors for children from families with net household income below average Dutch income, and for children from a non-Dutch ethnicity.

CONCLUSIONS

Introducing dedicated PA spaces may be a promising approach to increase outdoor play for children from more socioeconomically disadvantaged families, but larger studies are needed to contribute to the evidence.

Two-Year Changes in Child Weight Status, Diet, and Activity by Neighborhood Nutrition and Physical Activity Environment

OBJECTIVE

The aim of this study was to examine 2-year changes in weight status and behaviors among children living in neighborhoods differing on nutrition and activity environments.

METHODS

A prospective observational study, the Neighborhood Impact on Kids study, was conducted in King County, Washington, and San Diego County, California. Children 6 to 12 years old and a parent or caregiver completed Time 1 (n = 681) and Time 2 (n = 618) assessments. Children lived in neighborhoods characterized as "high/favorable" or "low/unfavorable" in nutrition and activity environments, respectively (four neighborhood types). Child BMI z score and overweight or obesity status were primary outcomes, with diet and activity behaviors as behavioral outcomes.

RESULTS

After adjusting for sociodemographics and Time 1 values, children living in two of the three less environmentally supportive neighborhoods had significantly less favorable BMI z score changes (+0.11, 95% CI: 0.01-0.21; + 0.12, 95% CI: 0.03-0.21), and all three less supportive neighborhoods had higher overweight or obesity (relative risks, 1.41-1.49; 95% CI: 1.13-1.80) compared with children in the most environmentally supportive neighborhoods. Changes in daily energy intake and sedentary behavior by neighborhood type were consistent with observed weight status changes, with unexpected findings for physical activity.

CONCLUSIONS

More walkable and recreation-supportive environments with better nutrition access were associated with better child weight outcomes and related behavior changes.

Neighbourhoods and obesity: A prospective study of characteristics of the built environment and their association with adiposity outcomes in children in Montreal, Canada

This paper examined prospective associations between built environment features assessed at baseline using direct audits and adiposity outcomes two years later in Montreal, Canada. Data stem from the Quebec Adipose and Lifestyle Investigation in Youth study of 630 children aged 8-10 years with a parental history of obesity. Baseline measurements took place between 2005 and 2008. Follow-up took place between 2008 and 2011. Built environment features were assessed at baseline in up to 10 contiguous street segments around participants' residential addresses using on-site audits. Analyses were restricted to participants who reported the same address both at baseline and follow-up. Prospective associations between adiposity outcomes at follow-up (BMI z-score and waist-height ratio) and built environment features at baseline (traffic-calming features, pedestrian aids, disorder, physical activity facilities, convenience stores, and fast-food restaurants) were examined using multivariable regression models. 391 children were included in the analyses. In fully-adjusted models, children living in residential areas with presence of pedestrian aids had lower BMI z-score, and lower waist-height ratio. Also, children residing in residential areas with at least one convenience store had lower BMI z-score, and lower waist-height ratio at follow-up. Findings provide evidence of the potential role of street-level urban design features in shaping childhood adiposity. To better inform policy and intervention, future research should explore the possibility of reducing obesogenic neighbourhoods by enhancing street-level design features.

Comparing objective measures of the built environment in their associations with youth physical activity and sedentary behavior across heterogeneous geographies

We compared two strategies for measuring built environment features in their associations with youth physical activity and sedentary behavior across heterogeneous geographies of Pennsylvania. Physical activity environments of communities representing a rural-to-urban gradient were characterized through direct observation and spatially referenced archival data subjected to confirmatory factor analysis. Stratified regression analyses assessed associations between environmental measures and behavioral outcomes by community type. Neither strategy was consistently associated with behavior across communities. Findings highlight the importance of differentiating community type in evaluating associations of the built environment, and the challenge of measuring meaningful differences that influence youth behavior across heterogeneous geographies.

Typologies of neighbourhood environments and children's physical activity, sedentary time and television viewing

This study examined cross-sectional and prospective associations between clusters of neighbourhood attributes (typologies) and non-school moderate-to-vigorous physical activity, sedentary time (objectively measured) and proxy-reported television viewing among children aged 5-6 and 10-12 years. Four distinct clusters were identified from seven objectively-measured neighbourhood attributes (land use mix, traffic exposure, playgrounds, sports venues, intersections and cul-de-sacs within 800m, crime/postcode). Some cross-sectional associations with behavior were found. Longitudinally, the cluster characterised by mixed land use and many playgrounds and sport venues was associated with less television viewing on weekends three years later. Considering the aggregate effects of urban form elements may help understand how combinations of neighbourhood attributes influence behavior.

Playability of school-environments and after-school physical activity among 8-11 year-old children: specificity of time and place

Background

Physical Activity (PA) occurs in several behavioral domains (e.g., sports, active transport), and is affected by distinct environmental factors. By filtering objective PA using children’s school schedules, daily PA can be separated into more conceptually meaningful domains. We used an ecological design to investigate associations between “playability” of 21 school-environments and children’s objectively measured after-school PA. We also examined to what extent distinct time-periods after-school and the distance from children’s residence to their school influenced this association.

Methods

PA was measured in 587 8–11 year-old children by accelerometers, and separated in four two-hour time-periods after-school. For each school-environment, standardized playability-scores were calculated based on standardized audits within 800 m network buffers around each school. Schools and children’s residences were geocoded, and we classified each child to be residing in 400, 800, 1600, or >1600 m crow-fly buffers from their school. The influence of network-distance buffers was also examined using the same approach.

Results

Playability was associated with light PA and moderate-to-vigorous PA after-school, especially in the time-period directly after-school and among children who lived within 800 m from their school. Playability explained approximately 30 % of the after-school PA variance between schools. Greater distance from children’s residence to their school weakened the association between playability of the school-environments and after-school PA.

Conclusions

This study demonstrated that relationships between the conceptually matched physical environment and PA can be revealed and made plausible with increasing specificity in time and distance.